Closed
Description
System Info
transformers
version: 4.51.0.dev0- Platform: Linux-5.15.0-73-generic-x86_64-with-glibc2.35
- Python version: 3.12.9
- Huggingface_hub version: 0.29.3
- Safetensors version: 0.5.3
- Accelerate version: 1.5.2
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): 2.7.0.dev20250224+xpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
Who can help?
Information
- The official example scripts
- My own modified scripts
Tasks
- An officially supported task in the
examples
folder (such as GLUE/SQuAD, ...) - My own task or dataset (give details below)
Reproduction
Follow README instructions to run run_mim.py
!python run_mim.py \
--model_type vit \
--output_dir ./outputs/ \
--overwrite_output_dir \
--remove_unused_columns False \
--label_names bool_masked_pos \
--do_train \
--do_eval \
--learning_rate 2e-5 \
--weight_decay 0.05 \
--num_train_epochs 100 \
--per_device_train_batch_size 8 \
--per_device_eval_batch_size 8 \
--logging_strategy steps \
--logging_steps 10 \
--eval_strategy epoch \
--save_strategy epoch \
--load_best_model_at_end True \
--save_total_limit 3 \
--seed 1337
Expected behavior
The example is broken.
Output:
File "/repos/transformers/examples/pytorch/image-pretraining/run_mim.py", line 483, in <module>
main()
File "/repos/transformers/examples/pytorch/image-pretraining/run_mim.py", line 362, in main
image_processor = IMAGE_PROCESSOR_TYPES[model_args.model_type]()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: 'tuple' object is not callable